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// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// @ts-ignore
import { DOMParser } from "npm:linkedom";
// --- AI & TOOL DEFINITIONS ---
const openai = new OpenAI();
// This is the "mind" of Campy. It defines its persona, goals, and available tools.
  `;
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [
async function generate_talking_points(subject: string, context: string) {
  const completion = await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [
    const { messages } = await req.json();
    // 1. Send the conversation to OpenAI
    const response = await openai.chat.completions.create({
      model: "gpt-4o",
      messages: [{ role: "system", content: CAMPY_SYSTEM_PROMPT }, ...messages],
      // 4. After executing tools, let the model process the results
      const secondResponse = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [

import { Hono } from "npm:hono@4.4.12";
import { OpenAI } from "https://esm.town/v/std/openai";
import type { Context } from "npm:hono@4.4.12";
import { streamText } from "npm:hono/streaming";
// --- BACKEND SERVICES ---
const services = {
  async callOpenAI(
    systemPrompt: string,
    userContent: string | object,
    } = options;
    const openai = new OpenAI();
    const messages: any[] = [
      { role: "system", content: systemPrompt },
    try {
      const completion = await openai.chat.completions.create(requestPayload);
      if (stream && c) {
      return completion;
    } catch (e) {
      console.error(`Error calling OpenAI: ${e.message}`);
      throw new Error("AI service failed.");
    }
  try {
    const completion = await services.callOpenAI(
      "You are a helpful assistant following strict output rules.",
      prompt,
  const body = await c.req.json();
  const userContent = { type, ...body };
  return services.callOpenAI(
    config.prompts.DYNAMIC_LIST_GENERATOR,
    userContent,
    JSON.stringify(company_context)
  }\n\nOccupation: ${occupation_title}\n\nTask: ${task}`;
  return services.callOpenAI(config.prompts.PROMPT_REFINER, userContent, {
    c,
    isJson: true,
app.post("/api/inputs", async (c: Context) => {
  const { refined_prompt } = await c.req.json<InputsBody>();
  return services.callOpenAI(config.prompts.INPUT_EXTRACTOR, refined_prompt, {
    c,
    isJson: true,
  return streamText(c, async (stream) => {
    try {
      const openai = new OpenAI();
      const initialResponse = await openai.chat.completions.create({
        model: config.models.major,
        messages,
        }
        const finalStream = await openai.chat.completions.create({
          model: config.models.major,
          messages,
    JSON.stringify(company_context)
  }\n\nTask Briefing:\n${refined_prompt}`;
  return services.callOpenAI(
    config.prompts.EVALUATION_CRITERIA_GENERATOR,
    userContent,
  return streamText(c, async (stream) => {
    try {
      const openai = new OpenAI();
      const initialResponse = await openai.chat.completions.create({
        model: config.models.major, // Use the powerful model for evaluation
        messages,
        }
        const finalStream = await openai.chat.completions.create({
          model: config.models.major,
          messages,
  return streamText(c, async (stream) => {
    try {
      const openai = new OpenAI();
      const initialResponse = await openai.chat.completions.create({
        model: config.models.major,
        messages,
        }
        const finalStream = await openai.chat.completions.create({
          model: config.models.major,
          messages,
  const systemPrompt =
    `${config.prompts.REFINER_AGENT}\n\nOutput Language: ${language}`;
  return services.callOpenAI(systemPrompt, userContent, { c, stream: true });
});

    },
    {
      "owner": "openai",
      "name": "gpt-oss-120b",
      "type": "text-generation",
      "id": "openai/gpt-oss-120b",
      "description":
        "gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.",
      "cover_img_url":
        "https://shared.deepinfra.com/models/openai/gpt-oss-120b/cover_image.a422aaee1b1d6446e2ccb86489f79eb77a2143a4d2eef7f4e32a314679cc204a.webp",
      "tags": [],
      "pricing": {
      const response = await fetch(
        "https://api.deepinfra.com/v1/openai/chat/completions",
        {
          method: "POST",

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

  let response;
  try {
    response = await fetch('https://api.groq.com/openai/v1/chat/completions', {
    method: 'POST',
    headers: {

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

Note: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.
### OpenAI
```ts
import { OpenAI } from "https://esm.town/v/std/openai";
const openai = new OpenAI();
const completion = await openai.chat.completions.create({
  messages: [
    { role: "user", content: "Say hello in a creative way" },

// @ts-ignore
import { OpenAI } from "https://esm.town/v/std/openai?v=4";
// @ts-ignore
import { blob } from "https://esm.town/v/std/blob?v=11";
  if (req.method === "POST") {
    try {
      const openai = new OpenAI();
      const body = await req.json();
      switch (action) {
        case "decide": {
          const completion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
        case "cureGoal": {
          const completion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [
        case "reflect": {
          const completion = await openai.chat.completions.create({
            model: "gpt-4o",
            messages: [

const data = {
  "model": "openai/gpt-4o",
  "messages": [
    {